Molecular and Cellular Biochemistry
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SCImago
Q1
WOS
Q3
Impact factor
3.5
SJR
0.901
CiteScore
8.3
Categories
Medicine (miscellaneous)
Clinical Biochemistry
Molecular Biology
Cell Biology
Areas
Biochemistry, Genetics and Molecular Biology
Medicine
Years of issue
1973-2025
journal names
Molecular and Cellular Biochemistry
MOL CELL BIOCHEM
Top-3 citing journals

Journal of Biological Chemistry
(5570 citations)

International Journal of Molecular Sciences
(4662 citations)

Molecular and Cellular Biochemistry
(3869 citations)
Top-3 organizations

University of Manitoba
(229 publications)

Post graduate Institute of Medical Education and Research
(152 publications)

University of British Columbia
(108 publications)

Nanchang University
(25 publications)

Soochow University (Suzhou)
(24 publications)

Zhejiang University
(24 publications)
Most cited in 5 years
Found
Publications found: 664
Q3

Understanding Myocardial Ischemia: Cardiac Magnetic Resonance Insight Into Coronary Macro- and Microcirculation Pathophysiology
Takafuji M., Ishida M.
Q3
Current Cardiovascular Imaging Reports
,
2024
,
citations by CoLab: 0
,

Open Access
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Abstract
The purpose of this paper is to summarize the recent myocardial perfusion cardiovascular magnetic resonance (CMR) studies in the context of the diagnostic and prognostic value of epicardial coronary artery disease (CAD), coronary microvascular dysfunction (CMD) and the non-ischemic heart disease. Recent developments of the sequence and the post-processing of myocardial perfusion CMR images have enabled the quantitative assessment of myocardial perfusion, facilitating a significant shift from qualitative to quantitative assessment of stress perfusion CMR. Quantitative assessment of perfusion CMR allows objective and accurate assessment of myocardial ischemia in the detection of CAD, and may have the potential to assess CMD. Moreover, the integration of quantitative perfusion CMR with cine for functional assessment and late gadolinium enhancement and T1/T2 mapping for tissue characterization techniques allows for a deeper understanding of the pathophysiology and a capability of prognostic stratification for various cardiovascular diseases.
Q3

Cardio-Rheumatology: From Inflammation to Heart Failure. The Emerging Role of Cardiovascular Magnetic Resonance Imaging
Markousis-Mavrogenis G., Pepe A., Mukherjee M., Vartela V., Weber B., Mavrogeni S.I.
Q3
Current Cardiovascular Imaging Reports
,
2024
,
citations by CoLab: 0
,

Open Access
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PDF
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Abstract
Systemic inflammation is a major trigger for cardiovascular disease (CVD) and consequent heart failure (HF). Our purpose is to present the impact of inflammation in the development of HF in autoimmune rheumatic diseases (ARDs) and the emerging role of Cardiovascular Magnetic Resonance (CMR). ARDs represent the best example of systemic inflammation and are associated with increased risk of cardiovascular disease (CVD) finally leading to heart failure with preserved (HFpEF) or reduced ejection fraction (HFrEF). Systemic and local inflammation of the CV system may lead to myo-pericarditis, autoimmune inflammatory cardiomyopathy (AIC), valvular heart disease (VHD) and macro-/micro-coronary artery disease (CAD). Furthermore, the anti-rheumatic medication, used to control systemic inflammation, may also lead to myocardial cytotoxic effect. Silent clinical presentation is the main characteristic of CVD in ARDs, which makes the early, accurate diagnosis challenging. Furthermore, although there is great progress in the development of new anti-rheumatic medication, the CVD incidence/mortality in ARDs is still higher, compared to the rest of the population. High clinical awareness and use of new advanced technologies, such as CMR that can perform function and tissue characterization in the same examination, was proven useful for early diagnosis, risk stratification and treatment evaluation of CVD in ARDs. Lastly, the cardio-protective effect of anti-rheumatic and the immunomo-dulatory effect of cardiac medication hold the promise for better CVD control and potentially mortality reduction.
Q3

Insights of Cardiovascular Involvement in Women by Non-Invasive Imaging – Focus on Polycystic Ovaries Syndrome
Różewicz-Juraszek M., Ganbat M., Nagel E., Puntmann V.O.
Q3
Current Cardiovascular Imaging Reports
,
2024
,
citations by CoLab: 0
,

Open Access
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PDF
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Abstract
Abstract
Purpose of Review
The purpose of this paper is to review the results of studies from the last 3 years, presenting the current state of knowledge on the pathophysiological effect of polycystic ovary syndrome (PCOS) on the cardiovascular system, with cardiac involvement using non-invasive cardiovascular investigations.
Recent Findings
PCOS is a complex endocrine disorder that has a significant impact on the cardiovascular system. Recent studies confirm that PCOS increases the risk of cardiovascular disease (CVD) as well as the occurrence of cardiovascular events (CVE), including myocardial infarction (MI), coronary artery disease, and revascularization. These findings support the need for early screening and implementation of CVD prevention in women with PCOS.
Summary
Current evidence documents important and previously unrecognized mechanisms by which PCOS may adversely affect the cardiovascular system in affected women. Further studies are needed to in-depth characterisation of the cardiovascular phenotype of patients with PCOS. There is still a lack of studies using advanced cardiac imaging methods, including cardiac magnetic resonance imaging (CMR).
Graphical Abstract
Q3

Emerging Role of 4D Flow for Clinical use in Adult Congenital Heart Disease
Voges I., Ide Y., Puntmann V., Gabbert D., Krupickova S.
Q3
Current Cardiovascular Imaging Reports
,
2024
,
citations by CoLab: 0
,

Open Access
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PDF
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Abstract
Abstract
Purpose of Review
4-dimensional phase-contrast flow measurement (4D Flow) has an increasing clinical and scientific potential in patients with congenital heart disease (CHD). In this review, we present up-to-date information about the benefits of 4D Flow in adults with CHD (ACHD).
Recent Findings
Due to sequence and software developments 4D is now routinely used for clinical blood flow measurements in ACHD patients. An increasing number of studies also shows that 4D Flow-derived advanced hemodynamic markers cannot only explain cardiovascular conditions but that they can help in ACHD management. Moreover, with the use of computational fluid dynamics and deep learning techniques 4D Flow might help in exploring and developing personalized medical treatment strategies.
Summary
Utilization of 4D Flow has become widely spread in research as well as in clinical practice allowing to explore morphological and hemodynamical consequences in ACHD.
Q3

Myocardial Scar Imaging: Viability Beyond REVIVED
Kiberu Y., Jathanna N., Narayanan N., Vanezis A.P., Erhayiem B., Graham A., Jamil-Copley S.
Q3
Current Cardiovascular Imaging Reports
,
2024
,
citations by CoLab: 0
,

Open Access
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PDF
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Abstract
Abstract
Purpose of Review
It was previously believed that the presence of myocardial viability in patients with significant coronary artery disease improved outcomes following revascularisation, but the landmark STITCH trial found no significant correlation between viability and overall survival. However, the study used single photon emission contrast tomography or dobutamine stress echocardiography for viability assessment, but late gadolinium enhanced cardiac magnetic resonance imaging (LGE-CMR) has since become the gold standard for viability assessment. Additionally, there has been significant progress in heart failure pharmacotherapy. Leveraging these advances, the REVIVED study authors revisited the role of revascularisation on heart failure patient clinical outcomes. Similar to the STITCH study, REVIVED also identified a lack of correlation between viability and outcomes, confirming its limited role in revascularisation decision making. The purpose of this review is to discuss the advances in myocardial viability imaging and the role of LGE-CMR scar assessment beyond the REVIVED study.
Recent Findings
Myocardial scar predisposes to ventricular arrythmias and sudden cardiac death (SCD). It is the authors’ opinion that beyond REVIVED, focus should be placed on optimising the management of ventricular arrhythmias through visualisation and characterisation of cardiac scar to improve clinical outcomes. A significant proportion of SCDs occur in patients who remain unprotected if guided by current recommendations. Several studies have confirmed the presence and burden of scar as a better predictor of clinical outcomes in comparison to the current gold standard of left ventricular ejection fraction (LVEF).
Summary
The potential of machine learning and radiomics to visualise cardiac anatomy and characterise scar, leveraged with the ability to integrate segmented CMR and clinical electroanatomic maps intraoperatively shows promise in improving outcomes in VT ablations and delivering precision treatment based on individual risk.
Q3

A Review on Machine Learning for Arterial Extraction and Quantitative Assessment on Invasive Coronary Angiograms
Baral P., Zhao C., Esposito M., Zhou W.
Q3
Current Cardiovascular Imaging Reports
,
2024
,
citations by CoLab: 0
,

Open Access
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PDF
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Abstract
Recently, machine learning (ML) has developed rapidly in the field of medicine, playing an important role in disease diagnosis and treatment. Our aim of this paper is to provide an overview of the advancements in ML techniques applied to invasive coronary angiography (ICA) for segmentation of coronary arteries and quantitative evaluation, such as stenosis detection and fractional flow reserve (FFR) assessment. Machine learning techniques are used extensively along with ICA for the segmentation of arteries and quantitative evaluation of stenosis and measurement of FFR, representing a trend towards using computational methods for enhanced diagnostic precision in cardiovascular medicine. Various research studies with different algorithms and datasets have been conducted in this field. The performance of these studies largely depends on the algorithms employed and the datasets used for training and validation. However, despite the progress made, there remains a need for ML algorithms that can be easily integrated into clinical practice.
Q3

Positron Emission Tomography in the Diagnosis and Management of Cardiac Allograft Vasculopathy
Csecs I., Yakkali S., Feher A.
Q3
Current Cardiovascular Imaging Reports
,
2024
,
citations by CoLab: 0
,

Open Access
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PDF
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Abstract
This review aims to evaluate the current diagnostic standards for cardiac allograft vasculopathy (CAV) in heart transplant recipients, with a focus on the role of positron emission tomography (PET) myocardial perfusion imaging (MPI). The review addresses the efficacy of PET as a non-invasive alternative to invasive coronary angiography (ICA) and discusses recent guidelines and advancements in the detection and management of CAV. Recent research underscores the potential role of PET imaging in detecting CAV, particularly by assessing myocardial blood flow (MBF) and myocardial flow reserve (MFR). PET has emerged as a highly effective tool, offering potential advantages in diagnostic accuracy, cost-effectiveness, and reduced radiation exposure compared to ICA. The 2023 International Society for Heart and Lung Transplantation guidelines list PET MPI as a Class IIa indication for non-invasive CAV screening, highlighting its superior prognostic value. Studies demonstrate that PET-derived MBF and MFR correlate well with invasive measures and predict adverse outcomes, emphasizing the role of PET MPI in the early detection and management of CAV. Additionally, PET MPI can potentially reduce the need for frequent invasive procedures, thereby lowering healthcare costs. PET MPI significantly enhances the detection and prognostication of CAV in heart transplant recipients, providing a non-invasive, accurate, and cost-effective alternative to ICA. Integrating PET into routine surveillance protocols can improve early diagnosis and management of CAV, ultimately enhancing patient outcomes. Large multicenter studies are needed to optimize surveillance strategies and to further validate the role of PET in CAV detection and management.
Q3

Insights of Inflammatory Heart Involvement in Cardiac Sarcoidosis – A Systemic Review
Treiber J., Hamm C.W., Sossalla S.T., Rolf A.
Q3
Current Cardiovascular Imaging Reports
,
2024
,
citations by CoLab: 0
,

Open Access
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PDF
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Abstract
Abstract
Purpose of the Review
The purpose of this paper is to review the current knowledge regarding imaging inflammation in cardiac sarcoidosis (CS).
Recent Findings
Noninvasive imaging methods like cardiac magnetic resonance (CMR) and 18-fluorodeoxyglucose (18FDG) positron-emission tomography-computed tomography (PET-CT) scans have emerged as the most important modalities in diagnosing and monitor therapy efficacy in CS. The differentiation between an active and a chronic, silent clinical state is crucial for decision making. T1- and T2-mapping by CMR provide a unique opportunity to discriminate normal and diseased myocardium by detecting myocardial edema and fibrosis. While T1-mapping is sensitive to fibrosis and edema, T2 is primarily influenced by tissue water content. Increased 18-fluorodeoxyglucose (18FDG) uptake in positron-emission tomography-computed tomography (PET-CT) scan is a hallmark feature of CS and defines active inflammation. Therefore, the hybrid application of both CMR and 18FDG-PET-CT scans has evolved as the standard procedure to detect CS and monitor the therapeutic response.
Summary
Imaging inflammation in CS is basically performed by CMR T2-mapping and 18FDG uptake in PET-CT scan. Both are reliable methods in identifying active CS and follow up therapy and can be used synergistically. Additionally CMR provides further prognostic insights by late gadolinium enhancement that increases the risk for malignant arrhythmia and for relapse after therapy weaning.
Q3

Advanced Cardiovascular Magnetic Resonance Imaging in Takotsubo Syndrome: Update on Feature Tracking and Tissue Mapping
Sclafani M., Tini G., Musumeci B., Cianca A., Maestrini V., Cacciotti L., Arcari L.
Q3
Current Cardiovascular Imaging Reports
,
2024
,
citations by CoLab: 1
,

Open Access
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PDF
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Abstract
Abstract
Backgrounds
Takotsubo syndrome (TTS) is an intriguing clinical entity characterized by transient myocardial dysfunction. The precise pathophysiological mechanism of TTS is still unknown, but recent evidence suggests a central role of systemic inflammation associated with adrenergic discharge. Although initially considered benign, TTS has shown several potential short-term and long-term complications and adverse outcomes. To improve understanding and management, advanced cardiovascular magnetic resonance (CMR) techniques, such as feature tracking (FT) and parametric mapping, have gained attention.
Purpose of Review
The purpose of this review is to summarize the current literature on the clinical applications of CMR-FT and mapping in TTS. Additionally, the most significant and recent findings will be discussed.
Recent Findings
FT-CMR enables the parametric quantification of myocardial deformation, allowing a comprehensive evaluation of left ventricular, right ventricular, and atrial function. It provides an accurate definition of areas of myocardial dysfunction and potentially serves as a superior prognostic tool compared to ejection fraction. Tissue mapping techniques enable precise and comprehensive tissue characterization by quantifying areas of oedema, and myocardial fibrosis.
Summary
FT-CMR and mapping techniques serve as valuable prognostic tools both in the acute and chronic phases of TTS. They can detect subtle alterations and pan-cardiac involvement, while also providing important insights into the complex underlying mechanisms of the syndrome.
Q3

Cardiovascular Education in the Digital Age
Torres-Torres A.M., Monerat N., Al-Shaibi K., Tash A., Alasnag M.
Q3
Current Cardiovascular Imaging Reports
,
2024
,
citations by CoLab: 0
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Open Access
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PDF
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Abstract
Medical education has evolved remarkably during the last decade whereby the conventional large lecture halls, long didactic presentations, and textbooks have been replaced by smaller groups with a mentor–mentee pairing coupled with technological advances that permit a more intimate and yet comprehensive learning experience. The purpose of this review is to summarize the novel models of education and serve as a reference for educators. In the wake of a global pandemic, coronavirus-19 infection, higher education replaced conventional lecture hall formats with novel methods that are not face-to-face classes ushering in a new era of medical education. Recent studies have shown that social media has gradually emerged as an essential ancillary educational tool in cardiology. These studies recommend the integration of social media as well as other remote learning tools such as augmented reality, virtual reality, and smart glasses into the standard bedside and didactic curricula. However, educators will need research-based guidelines to inform instructional planning and implementation that ensure adequate exposure and fulfillment of the necessary competency requirements. The current role of social media, medical computer software applications, online tools, and virtual platforms and technology play a valuable role in modern-day cardiology training. This review examines each of these tools’ advantages and disadvantages as well as the notable gap in knowledge.
Q3

Review of Ultrasound Enhancing Agents in Echocardiography for Better Diagnostic Accuracy
Thamman R., Janardhanan R.
Q3
Current Cardiovascular Imaging Reports
,
2024
,
citations by CoLab: 0
,

Open Access
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PDF
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Abstract
This abstract aims to examine the advancements in the utilization, indications, and implementation of ultrasound enhancing agents (UEAs) and their potential to enhance cost-effective diagnostics. The review highlights significant progress in the application of UEAs, particularly in improving the delineation of endocardial borders, enhancing interpretation of wall motion, and increasing diagnostic accuracy. Moreover, UEAs contribute to streamlining workflows and help avoid more expensive procedures, especially in cases with technically challenging or suboptimal studies. UEAs have shown great promise in various medical scenarios, such as enhancing the visualization of the cardiac blood pool and enabling better assessment of ventricular borders, ventricular function, masses, and other intracavitary or myocardial abnormalities. This abstract presents an overview of the recent findings that underscore the potential benefits of UEAs in optimizing cardiac diagnostics while considering cost-effectiveness.
Q3

Role of Cardiac MRI in Pericardial Diseases
Anthony C., Akintoye E., Wang T.K., Klein A.
Q3
Current Cardiovascular Imaging Reports
,
2024
,
citations by CoLab: 0
,

Open Access
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PDF
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Abstract
To explore and highlight the important role that Cardiac MRI (CMR) plays as an imaging tool that not only facilitates the diagnosis of pericardial disease but is increasingly used to guide initiation of treatment and gauge adequacy of response to therapy in patients with acute and recurrent pericarditis is a specific focus of this review. An emphasis will be placed on the sequences that are currently utilized and novel sequences that could potentially be utilized for the diagnosis of pericarditis and pericardial disease. This article focuses on the CMR characteristics of the most encountered pericardial diseases and novel CMR techniques that may play an adjunctive role in the diagnosis, management, prognosis and the assessment of adequacy of response to therapy in patients with acute pericarditis. CMR has emerged as a powerful tool in the diagnosis of pericardial disease. This is a review of the current and future roles that CMR-based sequences play in not only the diagnosis of pericardial disease, but also in evaluating the need for medical therapy and gauging adequacy of response to therapy in this cohort.
Q3

Correction: Post‑acute Cardiovascular Sequelae of COVID‑19: an Overview of Functional and Imaging Insights
Rodriguez C.R., Rodriguez R.A., Valbuena S., Mueller S., Halle M., Nagel E., Puntmann V.O.
Q3

The Additional Value of T1 Mapping in Cardiac Disease: State of the Art
Ascione R., De Giorgi M., Dell’Aversana S., Di Costanzo G., Nappi C., Imbriaco M., Ponsiglione A.
Q3
Current Cardiovascular Imaging Reports
,
2023
,
citations by CoLab: 2
,

Open Access
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PDF
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Abstract
Abstract
Purpose of the Review
This paper delves into the emerging realm of T1 mapping, exploring recent innovations and their relevance across several cardiac diseases.
Recent Findings
T1 mapping with cardiovascular magnetic resonance (CMR) imaging has emerged as a valuable tool for cardiac disease evaluation, offering diagnostic, therapeutic, and prognostic insights. Tissue characterization using parametric mapping methods holds the promise of identifying and quantifying both focal and diffuse changes in myocardial structure, which cannot be adequately assessed through late gadolinium enhancement (LGE).
Summary
CMR imaging, particularly LGE, has enhanced cardiac tissue characterization. However, the detection of diffuse interstitial fibrosis remains challenging, necessitating the exploration of alternative techniques. T1 mapping could probably represent a game changer in the evaluation of diffuse and focal fibrosis in multiple cardiovascular conditions.
Q3

Post-acute Cardiovascular Sequelae of COVID-19: an Overview of Functional and Imaging Insights
Puntmann V.O., Rodriguez C.R., Rodriguez R.A., ValbuenaMueller S.S., Halle M., Nagel E.
Q3
Current Cardiovascular Imaging Reports
,
2023
,
citations by CoLab: 0
,

Open Access
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PDF
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Abstract
Abstract
Purpose of Review
To evaluate the potential role of advanced cardiac imaging and cardiopulmonary exercise testing in the diagnosis and evaluation of persistent cardiovascular conditions after SARS-CoV-2 infection.
Recent Findings
SARS-COV-2 has shown an overwhelming capacity to attack multiple organs, with the respiratory system being the most frequently involved. However, various cardiovascular complications have been reported during the course of the disease, becoming one of the most important causes of morbidity and mortality. Many articles have addressed the acute cardiovascular complications of SARS-CoV-2; however, chronic cardiovascular conditions that persist beyond acute infection are less well studied. Echocardiography has a role during the initial approach, but advanced cardiac images such as cardiac magnetic resonance and cardiac CT can be required since a normal echo finding does not exclude cardiovascular involvement. Cardiopulmonary exercise testing has proven to be a highly valuable tool in cases where the symptoms persist besides normal advanced images.
Summary
The present review includes the most relevant articles regarding the use of cardiac imaging and cardiopulmonary exercise testing in the evaluation of chronic cardiovascular manifestations of COVID-19.
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|
Cambridge University Press
831 citations, 0.31%
|
|
Portland Press
752 citations, 0.28%
|
|
The Company of Biologists
705 citations, 0.26%
|
|
Proceedings of the National Academy of Sciences (PNAS)
693 citations, 0.26%
|
|
The Endocrine Society
692 citations, 0.26%
|
|
Walter de Gruyter
691 citations, 0.26%
|
|
American Association for Cancer Research (AACR)
657 citations, 0.25%
|
|
Federation of American Societies for Experimental Biology (FASEB)
635 citations, 0.24%
|
|
American Society for Pharmacology and Experimental Therapeutics
632 citations, 0.24%
|
|
Baishideng Publishing Group
534 citations, 0.2%
|
|
American Society for Nutrition
426 citations, 0.16%
|
|
Pharmaceutical Society of Japan
420 citations, 0.16%
|
|
Annual Reviews
372 citations, 0.14%
|
|
BMJ
361 citations, 0.14%
|
|
Bioscientifica
309 citations, 0.12%
|
|
American Association for the Advancement of Science (AAAS)
305 citations, 0.11%
|
|
AME Publishing Company
299 citations, 0.11%
|
|
American Society for Clinical Investigation
293 citations, 0.11%
|
|
The American Association of Immunologists
252 citations, 0.09%
|
|
Science Alert
251 citations, 0.09%
|
|
American Thoracic Society
246 citations, 0.09%
|
|
240 citations, 0.09%
|
|
Rockefeller University Press
237 citations, 0.09%
|
|
230 citations, 0.09%
|
|
American Diabetes Association
229 citations, 0.09%
|
|
King Saud University
227 citations, 0.08%
|
|
IOS Press
222 citations, 0.08%
|
|
IntechOpen
218 citations, 0.08%
|
|
American Society of Hematology
217 citations, 0.08%
|
|
PeerJ
203 citations, 0.08%
|
|
SciELO
198 citations, 0.07%
|
|
Scientific Research Publishing
194 citations, 0.07%
|
|
IOP Publishing
188 citations, 0.07%
|
|
Society for Neuroscience
173 citations, 0.06%
|
|
World Scientific
169 citations, 0.06%
|
|
Society for the Study of Reproduction
169 citations, 0.06%
|
|
Asian Pacific Organization for Cancer Prevention
168 citations, 0.06%
|
|
American Society for Cell Biology (ASCB)
164 citations, 0.06%
|
|
Research Square Platform LLC
160 citations, 0.06%
|
|
Institute of Electrical and Electronics Engineers (IEEE)
157 citations, 0.06%
|
|
eLife Sciences Publications
149 citations, 0.06%
|
|
Biophysical Society
146 citations, 0.05%
|
|
European Molecular Biology Organization
142 citations, 0.05%
|
|
The Royal Society
141 citations, 0.05%
|
|
Pharmaceutical Society of Korea
141 citations, 0.05%
|
|
Environmental Health Perspectives
135 citations, 0.05%
|
|
128 citations, 0.05%
|
|
The Japanese Circulation Society
128 citations, 0.05%
|
|
American Society of Animal Science
115 citations, 0.04%
|
|
Microbiology Society
111 citations, 0.04%
|
|
AIP Publishing
107 citations, 0.04%
|
|
Akademiai Kiado
107 citations, 0.04%
|
|
Radiation Research Society
98 citations, 0.04%
|
|
Medknow
92 citations, 0.03%
|
|
CSIRO Publishing
87 citations, 0.03%
|
|
82 citations, 0.03%
|
|
American Society of Nephrology
82 citations, 0.03%
|
|
OAE Publishing Inc.
82 citations, 0.03%
|
|
F1000 Research
82 citations, 0.03%
|
|
Korean Society of Food Science and Nutrition
76 citations, 0.03%
|
|
Hans Publishers
76 citations, 0.03%
|
|
Institute of Physiology of the Czech Academy of Sciences
76 citations, 0.03%
|
|
IGI Global
74 citations, 0.03%
|
|
American Scientific Publishers
71 citations, 0.03%
|
|
XMLink
68 citations, 0.03%
|
|
Korean Society of Applied Pharmacology
66 citations, 0.02%
|
|
64 citations, 0.02%
|
|
Korean Society for Biochemistry and Molecular Biology - BMB Reports
58 citations, 0.02%
|
|
Japanese Society of Toxicology
56 citations, 0.02%
|
|
Neoplasia Press
55 citations, 0.02%
|
|
EDP Sciences
53 citations, 0.02%
|
|
Academia Brasileira de Ciencias
53 citations, 0.02%
|
|
Korean Society of Food Science and Technology
53 citations, 0.02%
|
|
Maad Rayan Publishing Company
52 citations, 0.02%
|
|
51 citations, 0.02%
|
|
Show all (70 more) | |
10000
20000
30000
40000
50000
60000
70000
80000
|
Publishing organizations
50
100
150
200
250
|
|
University of Manitoba
229 publications, 1.82%
|
|
Post graduate Institute of Medical Education and Research
152 publications, 1.21%
|
|
University of British Columbia
108 publications, 0.86%
|
|
University of Madras
105 publications, 0.84%
|
|
Fudan University
102 publications, 0.81%
|
|
Panjab University
100 publications, 0.8%
|
|
Shanghai Jiao Tong University
92 publications, 0.73%
|
|
University of Saskatchewan
88 publications, 0.7%
|
|
Federal University of Rio Grande do Sul
85 publications, 0.68%
|
|
Harvard University
81 publications, 0.65%
|
|
University of Shizuoka
79 publications, 0.63%
|
|
University of Alberta
79 publications, 0.63%
|
|
Chongqing Medical University
75 publications, 0.6%
|
|
Sun Yat-sen University
71 publications, 0.57%
|
|
Harbin Medical University
71 publications, 0.57%
|
|
University of Toronto
70 publications, 0.56%
|
|
China Medical University (Liaoning)
67 publications, 0.53%
|
|
Nanjing Medical University
66 publications, 0.53%
|
|
Central South University
63 publications, 0.5%
|
|
Air Force Medical University
61 publications, 0.49%
|
|
Indian Institute of Chemical Biology
60 publications, 0.48%
|
|
Zhejiang University
59 publications, 0.47%
|
|
University of Minnesota
58 publications, 0.46%
|
|
National University of La Plata
57 publications, 0.45%
|
|
National Institute for Occupational Safety and Health
56 publications, 0.45%
|
|
Jilin University
55 publications, 0.44%
|
|
United Arab Emirates University
54 publications, 0.43%
|
|
Sichuan University
54 publications, 0.43%
|
|
Xi'an Jiaotong University
54 publications, 0.43%
|
|
Wuhan University
52 publications, 0.41%
|
|
Nantong University
52 publications, 0.41%
|
|
All India Institute of Medical Sciences, Delhi
51 publications, 0.41%
|
|
Zhengzhou University
51 publications, 0.41%
|
|
Autonomous University of Madrid
51 publications, 0.41%
|
|
University of Belgrade
51 publications, 0.41%
|
|
University of Louisville
51 publications, 0.41%
|
|
Central Food Technological Research Institute
50 publications, 0.4%
|
|
Soochow University (Suzhou)
48 publications, 0.38%
|
|
Shandong University
48 publications, 0.38%
|
|
University of Maryland, Baltimore
48 publications, 0.38%
|
|
Indian Institute of Science
47 publications, 0.37%
|
|
Carleton University
47 publications, 0.37%
|
|
Creighton University
47 publications, 0.37%
|
|
University of Pennsylvania
46 publications, 0.37%
|
|
Nanchang University
45 publications, 0.36%
|
|
University of Buenos Aires
45 publications, 0.36%
|
|
Wayne State University
45 publications, 0.36%
|
|
University of Florida
45 publications, 0.36%
|
|
Peking University
44 publications, 0.35%
|
|
Anhui Medical University
43 publications, 0.34%
|
|
Johns Hopkins University
43 publications, 0.34%
|
|
Baylor College of Medicine
43 publications, 0.34%
|
|
McMaster University
43 publications, 0.34%
|
|
Jawaharlal Nehru University
42 publications, 0.33%
|
|
University of Tokyo
41 publications, 0.33%
|
|
University of Wisconsin–Madison
41 publications, 0.33%
|
|
University of Cincinnati
41 publications, 0.33%
|
|
Xiangya Hospital Central South University
40 publications, 0.32%
|
|
Southern Medical University
40 publications, 0.32%
|
|
Charles University
40 publications, 0.32%
|
|
Case Western Reserve University
40 publications, 0.32%
|
|
Kyushu University
40 publications, 0.32%
|
|
Huazhong University of Science and Technology
39 publications, 0.31%
|
|
University of South China
39 publications, 0.31%
|
|
Bose Institute
38 publications, 0.3%
|
|
Annamalai University
38 publications, 0.3%
|
|
Grenoble Alpes University
38 publications, 0.3%
|
|
National Autonomous University of Mexico
38 publications, 0.3%
|
|
University of Barcelona
38 publications, 0.3%
|
|
Maastricht University
37 publications, 0.29%
|
|
Ohio State University
37 publications, 0.29%
|
|
Western University
37 publications, 0.29%
|
|
University of Extremadura
37 publications, 0.29%
|
|
Indian Institute of Toxicology Research
36 publications, 0.29%
|
|
University of Kalyani
36 publications, 0.29%
|
|
Wenzhou Medical University
36 publications, 0.29%
|
|
West Virginia University
35 publications, 0.28%
|
|
New York University
35 publications, 0.28%
|
|
Erasmus University Rotterdam
35 publications, 0.28%
|
|
University of Padua
34 publications, 0.27%
|
|
University of Delhi
33 publications, 0.26%
|
|
Capital Medical University
33 publications, 0.26%
|
|
Universidade Federal do Rio de Janeiro
33 publications, 0.26%
|
|
Vanderbilt University
33 publications, 0.26%
|
|
Medical University of Gdańsk
33 publications, 0.26%
|
|
Comenius University Bratislava
33 publications, 0.26%
|
|
Guangzhou Medical University
32 publications, 0.25%
|
|
University of Calgary
32 publications, 0.25%
|
|
Second Military Medical University
31 publications, 0.25%
|
|
Cornell University
31 publications, 0.25%
|
|
University of California, Los Angeles
31 publications, 0.25%
|
|
National Cancer Institute
31 publications, 0.25%
|
|
Universite Libre de Bruxelles
30 publications, 0.24%
|
|
Qingdao University
30 publications, 0.24%
|
|
George Washington University
30 publications, 0.24%
|
|
University of California, San Diego
30 publications, 0.24%
|
|
University of Michigan
30 publications, 0.24%
|
|
Virginia Commonwealth University Medical Center
30 publications, 0.24%
|
|
University of Granada
30 publications, 0.24%
|
|
Central Leather Research Institute
29 publications, 0.23%
|
|
Show all (70 more) | |
50
100
150
200
250
|
Publishing organizations in 5 years
5
10
15
20
25
|
|
Nanchang University
25 publications, 1.65%
|
|
Zhejiang University
24 publications, 1.59%
|
|
Soochow University (Suzhou)
24 publications, 1.59%
|
|
Zhengzhou University
24 publications, 1.59%
|
|
China Medical University (Liaoning)
21 publications, 1.39%
|
|
Sun Yat-sen University
19 publications, 1.25%
|
|
University of South China
19 publications, 1.25%
|
|
Shanghai Jiao Tong University
18 publications, 1.19%
|
|
Huazhong University of Science and Technology
18 publications, 1.19%
|
|
Xi'an Jiaotong University
18 publications, 1.19%
|
|
Nanjing Medical University
18 publications, 1.19%
|
|
Jilin University
17 publications, 1.12%
|
|
Qingdao University
17 publications, 1.12%
|
|
Western University of Health Sciences
16 publications, 1.06%
|
|
Shandong University
15 publications, 0.99%
|
|
Sichuan University
14 publications, 0.92%
|
|
Central South University
14 publications, 0.92%
|
|
Tianjin Medical University
14 publications, 0.92%
|
|
All India Institute of Medical Sciences, Delhi
13 publications, 0.86%
|
|
Capital Medical University
13 publications, 0.86%
|
|
Southern Medical University
13 publications, 0.86%
|
|
Anhui Medical University
13 publications, 0.86%
|
|
University of Louisville
13 publications, 0.86%
|
|
Sechenov First Moscow State Medical University
12 publications, 0.79%
|
|
Fudan University
12 publications, 0.79%
|
|
Xiangya Hospital Central South University
12 publications, 0.79%
|
|
Jinan University
12 publications, 0.79%
|
|
Guangzhou Medical University
12 publications, 0.79%
|
|
Wenzhou Medical University
12 publications, 0.79%
|
|
Wuhan University
11 publications, 0.73%
|
|
Chongqing Medical University
11 publications, 0.73%
|
|
Hebei Medical University
11 publications, 0.73%
|
|
University of Karachi
10 publications, 0.66%
|
|
Post graduate Institute of Medical Education and Research
10 publications, 0.66%
|
|
Peking University
10 publications, 0.66%
|
|
Harbin Medical University
10 publications, 0.66%
|
|
University of Belgrade
10 publications, 0.66%
|
|
Panjab University
9 publications, 0.59%
|
|
Jamia Millia Islamia
9 publications, 0.59%
|
|
Second Xiangya Hospital of Central South University
8 publications, 0.53%
|
|
Tianjin University of Traditional Chinese Medicine
8 publications, 0.53%
|
|
Shanxi Medical University
8 publications, 0.53%
|
|
Nantong University
8 publications, 0.53%
|
|
Zunyi Medical University
8 publications, 0.53%
|
|
Henan Provincial People's Hospital
8 publications, 0.53%
|
|
Federal University of Rio Grande do Sul
8 publications, 0.53%
|
|
Ankara University
7 publications, 0.46%
|
|
Tehran University of Medical Sciences
7 publications, 0.46%
|
|
Shahid Beheshti University of Medical Sciences and Health Services
7 publications, 0.46%
|
|
Mashhad University of Medical Sciences
7 publications, 0.46%
|
|
Nirma University
7 publications, 0.46%
|
|
Amity University, Noida
7 publications, 0.46%
|
|
Nanjing University
7 publications, 0.46%
|
|
Hebei University
7 publications, 0.46%
|
|
Shanghai University of Traditional Chinese Medicine
7 publications, 0.46%
|
|
Yangzhou University
7 publications, 0.46%
|
|
Kunming Medical University
7 publications, 0.46%
|
|
University of Science and Technology of China
7 publications, 0.46%
|
|
University of Alberta
7 publications, 0.46%
|
|
Comenius University Bratislava
7 publications, 0.46%
|
|
University of Delhi
6 publications, 0.4%
|
|
Vellore Institute of Technology University
6 publications, 0.4%
|
|
University of Calcutta
6 publications, 0.4%
|
|
Sir Ganga Ram Hospital
6 publications, 0.4%
|
|
University of Electronic Science and Technology of China
6 publications, 0.4%
|
|
Hunan Normal University
6 publications, 0.4%
|
|
Dalian Medical University
6 publications, 0.4%
|
|
Cairo University
6 publications, 0.4%
|
|
Air Force Medical University
6 publications, 0.4%
|
|
Shandong University of Traditional Chinese Medicine
6 publications, 0.4%
|
|
Shandong First Medical University
6 publications, 0.4%
|
|
Henan University
6 publications, 0.4%
|
|
Lanzhou University
6 publications, 0.4%
|
|
Guangxi Medical University
6 publications, 0.4%
|
|
Virginia Commonwealth University
6 publications, 0.4%
|
|
University of Manitoba
6 publications, 0.4%
|
|
Carleton University
6 publications, 0.4%
|
|
Damanhour University
6 publications, 0.4%
|
|
King Abdulaziz University
5 publications, 0.33%
|
|
Umm al-Qura University
5 publications, 0.33%
|
|
Tabriz University of Medical Sciences
5 publications, 0.33%
|
|
Banaras Hindu University
5 publications, 0.33%
|
|
University of Baghdad
5 publications, 0.33%
|
|
Sree Chitra Tirunal Institute for Medical Sciences and Technology
5 publications, 0.33%
|
|
Lokman Hekim University
5 publications, 0.33%
|
|
Chongqing University
5 publications, 0.33%
|
|
Chinese Academy of Medical Sciences & Peking Union Medical College
5 publications, 0.33%
|
|
Guangdong Medical University
5 publications, 0.33%
|
|
Chengdu University of Traditional Chinese Medicine
5 publications, 0.33%
|
|
Taipei Medical University
5 publications, 0.33%
|
|
Johns Hopkins University
5 publications, 0.33%
|
|
Guizhou Medical University
5 publications, 0.33%
|
|
Northwest University
5 publications, 0.33%
|
|
Harvard University
5 publications, 0.33%
|
|
Hangzhou Medical College
5 publications, 0.33%
|
|
Zhejiang Chinese Medical University
5 publications, 0.33%
|
|
Hainan Medical University
5 publications, 0.33%
|
|
Wayne State University
5 publications, 0.33%
|
|
Xinjiang Medical University
5 publications, 0.33%
|
|
Ningxia Medical University
5 publications, 0.33%
|
|
Show all (70 more) | |
5
10
15
20
25
|
Publishing countries
500
1000
1500
2000
2500
3000
3500
|
|
USA
|
USA, 3070, 24.45%
USA
3070 publications, 24.45%
|
China
|
China, 2353, 18.74%
China
2353 publications, 18.74%
|
India
|
India, 1441, 11.48%
India
1441 publications, 11.48%
|
Canada
|
Canada, 999, 7.96%
Canada
999 publications, 7.96%
|
Japan
|
Japan, 758, 6.04%
Japan
758 publications, 6.04%
|
Germany
|
Germany, 465, 3.7%
Germany
465 publications, 3.7%
|
Italy
|
Italy, 379, 3.02%
Italy
379 publications, 3.02%
|
United Kingdom
|
United Kingdom, 355, 2.83%
United Kingdom
355 publications, 2.83%
|
France
|
France, 324, 2.58%
France
324 publications, 2.58%
|
Brazil
|
Brazil, 307, 2.45%
Brazil
307 publications, 2.45%
|
Spain
|
Spain, 301, 2.4%
Spain
301 publications, 2.4%
|
Poland
|
Poland, 218, 1.74%
Poland
218 publications, 1.74%
|
Republic of Korea
|
Republic of Korea, 216, 1.72%
Republic of Korea
216 publications, 1.72%
|
Argentina
|
Argentina, 208, 1.66%
Argentina
208 publications, 1.66%
|
Netherlands
|
Netherlands, 175, 1.39%
Netherlands
175 publications, 1.39%
|
Turkey
|
Turkey, 166, 1.32%
Turkey
166 publications, 1.32%
|
Russia
|
Russia, 162, 1.29%
Russia
162 publications, 1.29%
|
Australia
|
Australia, 122, 0.97%
Australia
122 publications, 0.97%
|
Sweden
|
Sweden, 102, 0.81%
Sweden
102 publications, 0.81%
|
Iran
|
Iran, 95, 0.76%
Iran
95 publications, 0.76%
|
Serbia
|
Serbia, 80, 0.64%
Serbia
80 publications, 0.64%
|
Czech Republic
|
Czech Republic, 79, 0.63%
Czech Republic
79 publications, 0.63%
|
Switzerland
|
Switzerland, 79, 0.63%
Switzerland
79 publications, 0.63%
|
Slovakia
|
Slovakia, 78, 0.62%
Slovakia
78 publications, 0.62%
|
Mexico
|
Mexico, 75, 0.6%
Mexico
75 publications, 0.6%
|
Denmark
|
Denmark, 72, 0.57%
Denmark
72 publications, 0.57%
|
Belgium
|
Belgium, 69, 0.55%
Belgium
69 publications, 0.55%
|
Greece
|
Greece, 69, 0.55%
Greece
69 publications, 0.55%
|
Egypt
|
Egypt, 68, 0.54%
Egypt
68 publications, 0.54%
|
Israel
|
Israel, 64, 0.51%
Israel
64 publications, 0.51%
|
Saudi Arabia
|
Saudi Arabia, 64, 0.51%
Saudi Arabia
64 publications, 0.51%
|
UAE
|
UAE, 62, 0.49%
UAE
62 publications, 0.49%
|
Hungary
|
Hungary, 61, 0.49%
Hungary
61 publications, 0.49%
|
USSR
|
USSR, 54, 0.43%
USSR
54 publications, 0.43%
|
Norway
|
Norway, 52, 0.41%
Norway
52 publications, 0.41%
|
South Africa
|
South Africa, 47, 0.37%
South Africa
47 publications, 0.37%
|
Portugal
|
Portugal, 44, 0.35%
Portugal
44 publications, 0.35%
|
Chile
|
Chile, 41, 0.33%
Chile
41 publications, 0.33%
|
Finland
|
Finland, 40, 0.32%
Finland
40 publications, 0.32%
|
Pakistan
|
Pakistan, 38, 0.3%
Pakistan
38 publications, 0.3%
|
Austria
|
Austria, 35, 0.28%
Austria
35 publications, 0.28%
|
Romania
|
Romania, 30, 0.24%
Romania
30 publications, 0.24%
|
Estonia
|
Estonia, 29, 0.23%
Estonia
29 publications, 0.23%
|
Thailand
|
Thailand, 26, 0.21%
Thailand
26 publications, 0.21%
|
Kuwait
|
Kuwait, 24, 0.19%
Kuwait
24 publications, 0.19%
|
Malaysia
|
Malaysia, 20, 0.16%
Malaysia
20 publications, 0.16%
|
New Zealand
|
New Zealand, 20, 0.16%
New Zealand
20 publications, 0.16%
|
Ukraine
|
Ukraine, 19, 0.15%
Ukraine
19 publications, 0.15%
|
Ireland
|
Ireland, 16, 0.13%
Ireland
16 publications, 0.13%
|
Bulgaria
|
Bulgaria, 15, 0.12%
Bulgaria
15 publications, 0.12%
|
Singapore
|
Singapore, 15, 0.12%
Singapore
15 publications, 0.12%
|
Lebanon
|
Lebanon, 13, 0.1%
Lebanon
13 publications, 0.1%
|
Nigeria
|
Nigeria, 12, 0.1%
Nigeria
12 publications, 0.1%
|
Yugoslavia
|
Yugoslavia, 12, 0.1%
Yugoslavia
12 publications, 0.1%
|
Iraq
|
Iraq, 10, 0.08%
Iraq
10 publications, 0.08%
|
Colombia
|
Colombia, 9, 0.07%
Colombia
9 publications, 0.07%
|
Bosnia and Herzegovina
|
Bosnia and Herzegovina, 8, 0.06%
Bosnia and Herzegovina
8 publications, 0.06%
|
Trinidad and Tobago
|
Trinidad and Tobago, 8, 0.06%
Trinidad and Tobago
8 publications, 0.06%
|
Belarus
|
Belarus, 7, 0.06%
Belarus
7 publications, 0.06%
|
Qatar
|
Qatar, 7, 0.06%
Qatar
7 publications, 0.06%
|
Lithuania
|
Lithuania, 7, 0.06%
Lithuania
7 publications, 0.06%
|
Montenegro
|
Montenegro, 7, 0.06%
Montenegro
7 publications, 0.06%
|
Czechoslovakia
|
Czechoslovakia, 7, 0.06%
Czechoslovakia
7 publications, 0.06%
|
Kazakhstan
|
Kazakhstan, 6, 0.05%
Kazakhstan
6 publications, 0.05%
|
Jordan
|
Jordan, 6, 0.05%
Jordan
6 publications, 0.05%
|
Slovenia
|
Slovenia, 6, 0.05%
Slovenia
6 publications, 0.05%
|
Tunisia
|
Tunisia, 6, 0.05%
Tunisia
6 publications, 0.05%
|
Jamaica
|
Jamaica, 6, 0.05%
Jamaica
6 publications, 0.05%
|
Bangladesh
|
Bangladesh, 5, 0.04%
Bangladesh
5 publications, 0.04%
|
Indonesia
|
Indonesia, 5, 0.04%
Indonesia
5 publications, 0.04%
|
Morocco
|
Morocco, 5, 0.04%
Morocco
5 publications, 0.04%
|
Uruguay
|
Uruguay, 5, 0.04%
Uruguay
5 publications, 0.04%
|
Croatia
|
Croatia, 5, 0.04%
Croatia
5 publications, 0.04%
|
Algeria
|
Algeria, 4, 0.03%
Algeria
4 publications, 0.03%
|
Cyprus
|
Cyprus, 4, 0.03%
Cyprus
4 publications, 0.03%
|
Cuba
|
Cuba, 4, 0.03%
Cuba
4 publications, 0.03%
|
Benin
|
Benin, 3, 0.02%
Benin
3 publications, 0.02%
|
Vietnam
|
Vietnam, 3, 0.02%
Vietnam
3 publications, 0.02%
|
Puerto Rico
|
Puerto Rico, 3, 0.02%
Puerto Rico
3 publications, 0.02%
|
Ethiopia
|
Ethiopia, 3, 0.02%
Ethiopia
3 publications, 0.02%
|
Armenia
|
Armenia, 2, 0.02%
Armenia
2 publications, 0.02%
|
Bahrain
|
Bahrain, 2, 0.02%
Bahrain
2 publications, 0.02%
|
Georgia
|
Georgia, 2, 0.02%
Georgia
2 publications, 0.02%
|
Iceland
|
Iceland, 2, 0.02%
Iceland
2 publications, 0.02%
|
Uzbekistan
|
Uzbekistan, 2, 0.02%
Uzbekistan
2 publications, 0.02%
|
Azerbaijan
|
Azerbaijan, 1, 0.01%
Azerbaijan
1 publication, 0.01%
|
Andorra
|
Andorra, 1, 0.01%
Andorra
1 publication, 0.01%
|
Antarctica
|
Antarctica, 1, 0.01%
Antarctica
1 publication, 0.01%
|
Venezuela
|
Venezuela, 1, 0.01%
Venezuela
1 publication, 0.01%
|
Guyana
|
Guyana, 1, 0.01%
Guyana
1 publication, 0.01%
|
Ghana
|
Ghana, 1, 0.01%
Ghana
1 publication, 0.01%
|
Dominica
|
Dominica, 1, 0.01%
Dominica
1 publication, 0.01%
|
Kyrgyzstan
|
Kyrgyzstan, 1, 0.01%
Kyrgyzstan
1 publication, 0.01%
|
Latvia
|
Latvia, 1, 0.01%
Latvia
1 publication, 0.01%
|
Malta
|
Malta, 1, 0.01%
Malta
1 publication, 0.01%
|
Mongolia
|
Mongolia, 1, 0.01%
Mongolia
1 publication, 0.01%
|
Nepal
|
Nepal, 1, 0.01%
Nepal
1 publication, 0.01%
|
Oman
|
Oman, 1, 0.01%
Oman
1 publication, 0.01%
|
Panama
|
Panama, 1, 0.01%
Panama
1 publication, 0.01%
|
North Macedonia
|
North Macedonia, 1, 0.01%
North Macedonia
1 publication, 0.01%
|
Show all (70 more) | |
500
1000
1500
2000
2500
3000
3500
|
Publishing countries in 5 years
100
200
300
400
500
600
700
|
|
China
|
China, 691, 45.64%
China
691 publications, 45.64%
|
India
|
India, 201, 13.28%
India
201 publications, 13.28%
|
USA
|
USA, 174, 11.49%
USA
174 publications, 11.49%
|
Brazil
|
Brazil, 47, 3.1%
Brazil
47 publications, 3.1%
|
Canada
|
Canada, 42, 2.77%
Canada
42 publications, 2.77%
|
Iran
|
Iran, 41, 2.71%
Iran
41 publications, 2.71%
|
Japan
|
Japan, 35, 2.31%
Japan
35 publications, 2.31%
|
Turkey
|
Turkey, 27, 1.78%
Turkey
27 publications, 1.78%
|
Egypt
|
Egypt, 25, 1.65%
Egypt
25 publications, 1.65%
|
Italy
|
Italy, 25, 1.65%
Italy
25 publications, 1.65%
|
United Kingdom
|
United Kingdom, 24, 1.59%
United Kingdom
24 publications, 1.59%
|
Saudi Arabia
|
Saudi Arabia, 24, 1.59%
Saudi Arabia
24 publications, 1.59%
|
Serbia
|
Serbia, 22, 1.45%
Serbia
22 publications, 1.45%
|
Pakistan
|
Pakistan, 20, 1.32%
Pakistan
20 publications, 1.32%
|
Republic of Korea
|
Republic of Korea, 20, 1.32%
Republic of Korea
20 publications, 1.32%
|
Russia
|
Russia, 18, 1.19%
Russia
18 publications, 1.19%
|
Germany
|
Germany, 18, 1.19%
Germany
18 publications, 1.19%
|
Mexico
|
Mexico, 15, 0.99%
Mexico
15 publications, 0.99%
|
Australia
|
Australia, 12, 0.79%
Australia
12 publications, 0.79%
|
Poland
|
Poland, 10, 0.66%
Poland
10 publications, 0.66%
|
Romania
|
Romania, 10, 0.66%
Romania
10 publications, 0.66%
|
France
|
France, 9, 0.59%
France
9 publications, 0.59%
|
Denmark
|
Denmark, 9, 0.59%
Denmark
9 publications, 0.59%
|
UAE
|
UAE, 9, 0.59%
UAE
9 publications, 0.59%
|
Slovakia
|
Slovakia, 9, 0.59%
Slovakia
9 publications, 0.59%
|
Bosnia and Herzegovina
|
Bosnia and Herzegovina, 8, 0.53%
Bosnia and Herzegovina
8 publications, 0.53%
|
Iraq
|
Iraq, 8, 0.53%
Iraq
8 publications, 0.53%
|
Nigeria
|
Nigeria, 8, 0.53%
Nigeria
8 publications, 0.53%
|
Portugal
|
Portugal, 7, 0.46%
Portugal
7 publications, 0.46%
|
Argentina
|
Argentina, 7, 0.46%
Argentina
7 publications, 0.46%
|
Netherlands
|
Netherlands, 7, 0.46%
Netherlands
7 publications, 0.46%
|
Sweden
|
Sweden, 7, 0.46%
Sweden
7 publications, 0.46%
|
Kazakhstan
|
Kazakhstan, 6, 0.4%
Kazakhstan
6 publications, 0.4%
|
Spain
|
Spain, 6, 0.4%
Spain
6 publications, 0.4%
|
Czech Republic
|
Czech Republic, 6, 0.4%
Czech Republic
6 publications, 0.4%
|
Switzerland
|
Switzerland, 6, 0.4%
Switzerland
6 publications, 0.4%
|
Malaysia
|
Malaysia, 5, 0.33%
Malaysia
5 publications, 0.33%
|
Ukraine
|
Ukraine, 4, 0.26%
Ukraine
4 publications, 0.26%
|
Chile
|
Chile, 4, 0.26%
Chile
4 publications, 0.26%
|
South Africa
|
South Africa, 4, 0.26%
South Africa
4 publications, 0.26%
|
Austria
|
Austria, 3, 0.2%
Austria
3 publications, 0.2%
|
Greece
|
Greece, 3, 0.2%
Greece
3 publications, 0.2%
|
Israel
|
Israel, 3, 0.2%
Israel
3 publications, 0.2%
|
Jordan
|
Jordan, 3, 0.2%
Jordan
3 publications, 0.2%
|
Qatar
|
Qatar, 3, 0.2%
Qatar
3 publications, 0.2%
|
Lebanon
|
Lebanon, 3, 0.2%
Lebanon
3 publications, 0.2%
|
New Zealand
|
New Zealand, 3, 0.2%
New Zealand
3 publications, 0.2%
|
Norway
|
Norway, 3, 0.2%
Norway
3 publications, 0.2%
|
Thailand
|
Thailand, 3, 0.2%
Thailand
3 publications, 0.2%
|
Uruguay
|
Uruguay, 3, 0.2%
Uruguay
3 publications, 0.2%
|
Finland
|
Finland, 3, 0.2%
Finland
3 publications, 0.2%
|
Belarus
|
Belarus, 2, 0.13%
Belarus
2 publications, 0.13%
|
Algeria
|
Algeria, 2, 0.13%
Algeria
2 publications, 0.13%
|
Bangladesh
|
Bangladesh, 2, 0.13%
Bangladesh
2 publications, 0.13%
|
Bulgaria
|
Bulgaria, 2, 0.13%
Bulgaria
2 publications, 0.13%
|
Hungary
|
Hungary, 2, 0.13%
Hungary
2 publications, 0.13%
|
Vietnam
|
Vietnam, 2, 0.13%
Vietnam
2 publications, 0.13%
|
Cyprus
|
Cyprus, 2, 0.13%
Cyprus
2 publications, 0.13%
|
Colombia
|
Colombia, 2, 0.13%
Colombia
2 publications, 0.13%
|
Singapore
|
Singapore, 2, 0.13%
Singapore
2 publications, 0.13%
|
Montenegro
|
Montenegro, 2, 0.13%
Montenegro
2 publications, 0.13%
|
Estonia
|
Estonia, 1, 0.07%
Estonia
1 publication, 0.07%
|
Armenia
|
Armenia, 1, 0.07%
Armenia
1 publication, 0.07%
|
Belgium
|
Belgium, 1, 0.07%
Belgium
1 publication, 0.07%
|
Ghana
|
Ghana, 1, 0.07%
Ghana
1 publication, 0.07%
|
Indonesia
|
Indonesia, 1, 0.07%
Indonesia
1 publication, 0.07%
|
Ireland
|
Ireland, 1, 0.07%
Ireland
1 publication, 0.07%
|
Iceland
|
Iceland, 1, 0.07%
Iceland
1 publication, 0.07%
|
Kyrgyzstan
|
Kyrgyzstan, 1, 0.07%
Kyrgyzstan
1 publication, 0.07%
|
Cuba
|
Cuba, 1, 0.07%
Cuba
1 publication, 0.07%
|
Morocco
|
Morocco, 1, 0.07%
Morocco
1 publication, 0.07%
|
Oman
|
Oman, 1, 0.07%
Oman
1 publication, 0.07%
|
North Macedonia
|
North Macedonia, 1, 0.07%
North Macedonia
1 publication, 0.07%
|
Uzbekistan
|
Uzbekistan, 1, 0.07%
Uzbekistan
1 publication, 0.07%
|
Ethiopia
|
Ethiopia, 1, 0.07%
Ethiopia
1 publication, 0.07%
|
Jamaica
|
Jamaica, 1, 0.07%
Jamaica
1 publication, 0.07%
|
Show all (46 more) | |
100
200
300
400
500
600
700
|
2 profile journal articles
Timashev Petr
DSc in Chemistry

Kurchatov Complex of Crystallography and Photonics of NRC «Kurchatov Institute»

Lomonosov Moscow State University
490 publications,
6 781 citations
h-index: 40
1 profile journal article
Belyaeva Elizaveta

Sechenov First Moscow State Medical University
9 publications,
51 citations
h-index: 4
Research interests
Biochemistry
Bioengineering
Molecular biology
Virology
1 profile journal article
Filippenkov Ivan

National Research Centre "Kurchatov Institute"
43 publications,
280 citations
h-index: 9
1 profile journal article
Gupta Amod

Post graduate Institute of Medical Education and Research
321 publications,
8 680 citations
h-index: 47
1 profile journal article
Chen Liangbo
21 publications,
286 citations
h-index: 9
1 profile journal article
Emran Talha

Brown University

BGC Trust University Bangladesh
547 publications,
14 253 citations
h-index: 59
1 profile journal article
Mika Adriana

Medical University of Gdańsk
100 publications,
1 713 citations
h-index: 24
1 profile journal article
Cao Chengxi
173 publications,
2 666 citations
h-index: 26
1 profile journal article
M. Luis
47 publications,
726 citations
h-index: 17
1 profile journal article
Kaur Satinder
135 publications,
1 587 citations
h-index: 22
1 profile journal article
Juul Jens
1 741 publications,
110 690 citations
h-index: 161